Manufacturing MRO Expert for Industry 4.0

Atlanta, Georgia, United States

Description

Job Title

Manufacturing Reliability Expert, Work the IoT

Company Overview

Come join a top-notch analytics team now solving real world problems in manufacturing with Genesis, our proprietary AI/ML big data platform processing factory data in real time. Our platform is proven, and we have deployed Genesis to our enterprise-grade customer operations. Genesis has been proven to increase plant uptime while reducing maintenance costs. It’s cognitive diagnostics engines enable junior technicians to do the work of senior techs. Genesis enables real-time continuous monitoring of factory equipment and process data across all plant to increase uptime and reduce associated maintenance costs. The platform technology is based on Georgia Tech research in the IoT/AI/ML technical verticals that has produced proprietary data modeling algorithms and methodologies driving automated decision science frameworks. We are located adjacent to the Georgia Tech campus with offices at Tech Square, mid-town Atlanta.

Job Description

We are seeking mechanical/industrial/electrical engineers (or equivalent) with expertise in manufacturing systems, computerized maintenance management systems, and reliability engineering to work with a multidisciplinary team of experts that focuses on the management of Industry 4.0 applications and transformations. You will work with our customer to on-board their equipment to our Genesis IoT/AI Analytics Platform.

Utilize knowledge of equipment/machine design and engineering to understand equipment reliability and use enabling software tools from Genesis platform to guide exploratory data analysis for defining and extracting appropriate data features that can be used to provide a precise state-of-health of the equipment and its critical components.

Manage data onboarding processes from customer sites into Genesis platform. Work with software team to provide engineering insights into the industrial data and guidance for data unification processes.